https://github.com/vyjayanthipolapragada/marketing_statistical_analysis

Statistical analysis of customer data and their impact on the sales of products based on marketing campaigns
https://github.com/vyjayanthipolapragada/marketing_statistical_analysis

customer-data data-analysis dataframes marketing matplotlib numpy pandas python seaborn statistical-analysis

Last synced: 2 months ago
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Statistical analysis of customer data and their impact on the sales of products based on marketing campaigns

• Host: GitHub
• URL: https://github.com/vyjayanthipolapragada/marketing_statistical_analysis
• Owner: VyjayanthiPolapragada
• Created: 2023-12-19T18:24:13.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-20T16:14:15.000Z (over 1 year ago)
• Last Synced: 2024-12-14T08:27:38.459Z (5 months ago)
• Topics: customer-data, data-analysis, dataframes, marketing, matplotlib, numpy, pandas, python, seaborn, statistical-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 348 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Marketing_Statistical_Analysis

Statistical analysis of customer data and the impact of marketing campaigns on sales

Dataset containing information of customers and their purchase based on marketing campaigns can be downloaded here/ attached above:

https://www.kaggle.com/datasets/jackdaoud/marketing-data/data

Libraries used: pandas, seaborn, matplotlib, numpy (all are in-built in jupyter notebook)

Python code is developed to implement basic statistical analysis on the dataset : Minimum & Maximum value, average and quarters

The follwoing processes are involved when analysing data:

1. Data Preparation

2. Statistical Analysis

3. Data Visualization